3218485270
f493bde8a9
- 缓存热点批量流程（有采集缓存不触发 Google） - 简报不足直接从采集缓存生成（轻量补齐） - 三图合成（模特/印花/底图）+ 底图压缩 <2MB - 热点去重→风格去重自动切换 + 不适合类目 review 兜底 - 透明背景（background=transparent）+ 提示词清洗（敏感词/背景描述） - 任务前 basemap 校验 + 模板国家校验 + 模特任务级分配
134 lines
6.0 KiB
Python
134 lines
6.0 KiB
Python
"""节点 8/8：种草图生成（seed_shot）——在 oss_upload 之后。
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对每个 product 的合成图（图1），按 seed_shot_templates.yaml 模板 + model_features.yaml 随机模特特征
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生成 N 张种草图（config.seed_shot.count，默认 1）：
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- [商品名称] ← product 的 cn_title（上一节点多模态生成）
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- [材质] ← 数据库 SPU.material 字段
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- [模特特征] ← model_features.yaml 随机一条
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种草图同样压缩上传到 OSS（货号计数与 oss_upload 共用 state["oss_seq"] 续接）。
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未配置图像后端 / 无合成图 / count=0 时跳过，不中断。
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"""
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import time
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from pathlib import Path
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from typing import Any, Dict, List
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from graph.validate import with_fallback
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@with_fallback("seed_shot")
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def seed_shot_node(state: Dict[str, Any]) -> Dict[str, Any]:
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products: List[Dict[str, Any]] = state.get("product") or []
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config = state["config"] or {}
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country = state.get("country", "")
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output_dir = Path(state["output_dir"])
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ss_cfg = config.get("seed_shot") or {}
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count = int(ss_cfg.get("count", 1))
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if not bool(ss_cfg.get("enabled", True)) or count <= 0 or not products:
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return {"seed_shots": [], "stats": state.get("stats") or {}}
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# 图像后端（复用 compose 配置）
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compose_cfg = config.get("compose") or {}
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ib = None
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if compose_cfg.get("backend"):
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from graph.backends import get_image_backend
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try:
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ib = get_image_backend(compose_cfg["backend"])
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if ib is not None:
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ib.bind_config(compose_cfg)
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except Exception as e: # noqa: BLE001
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print(f"[seed_shot] 图像后端不可用: {e}")
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if ib is None:
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print("[seed_shot] 未配置 compose.backend（openai/mock），跳过种草图生成")
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return {"seed_shots": [], "stats": state.get("stats") or {}}
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# 材质映射：db SPU.material（清洗换行）
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material_map: Dict[str, str] = {}
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try:
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from graph.product import list_spus
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import yaml
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dbp = (config.get("product") or {}).get("db_path", "db/spu_sku.db")
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p = Path(dbp)
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if not p.is_absolute():
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from graph.paths import project_root, runtime_root
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for root in (runtime_root(), project_root()):
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if (root / p).exists():
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p = root / p
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break
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for s in list_spus(str(p)):
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m = " ".join(str(s.get("material", "")).replace("\r", " ").replace("\n", " ").split())
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material_map[s["code"]] = m
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except Exception as e: # noqa: BLE001
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print(f"[seed_shot] 材质读取失败（用空）: {e}")
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from graph.seed_shot import generate_seed_shots
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from graph.oss_upload import build_oss_key, compress_for_oss, upload_to_oss
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from graph.nodes.oss_upload_node import _gen_rand4, MAX_CODE
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ts = str(state.get("task_timestamp") or time.strftime("%Y%m%d%H%M%S"))
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prefix = str(((config.get("product") or {}).get("code_prefix")) or "DG").strip()
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seq = int(state.get("oss_seq") or 0)
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oss_cfg = config.get("oss") or {}
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oss_enabled = bool(oss_cfg.get("enabled", True)) and bool(oss_cfg.get("oss_bucket"))
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all_shots: List[Dict[str, Any]] = []
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shot_dir = output_dir / "seed_shots"
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shot_dir.mkdir(parents=True, exist_ok=True)
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import concurrent.futures
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import threading as _th
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seq_lock = _th.Lock() # seq（货号计数）跨线程共享，需加锁
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def _shot_one(r: Dict[str, Any]):
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"""单个产品的种草图生成+上传（每产品独立线程）。"""
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nonlocal seq
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base = r.get("composite_path") or r.get("printed_path")
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if not base or not Path(base).exists():
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print(f"[seed_shot] {r.get('spu_code', '')} 无合成图，跳过种草图")
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return None
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cn = (r.get("cn_title") or "").strip() or r.get("topic", "")
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material = material_map.get(r.get("spu_code", ""), "")
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paths = generate_seed_shots(ib, base, cn, material, count, str(shot_dir),
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r.get("composite_negative", ""),
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size=str((config.get("seed_shot") or {}).get("size") or "1504x2000"),
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prefix=r.get("img_code") or r.get("oss_code") or "")
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if not paths:
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return None
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r["seed_shot_paths"] = paths
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urls: List[str] = []
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for pth in paths:
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with seq_lock:
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if seq >= MAX_CODE:
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print(f"[seed_shot] 货号计数达上限 999，停止上传种草图")
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break
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code = f"{prefix}{seq:03d}"
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seq += 1
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if oss_enabled:
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try:
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compressed = compress_for_oss(pth, str(Path(pth).with_suffix(".oss.jpg")))
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url = upload_to_oss(oss_cfg, compressed,
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build_oss_key(country, ts, code, _gen_rand4()))
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if url:
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urls.append(url)
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r["seed_shot_urls"] = urls
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except Exception as e: # noqa: BLE001
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print(f"[seed_shot] 种草图上传失败 {pth}: {e}")
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else:
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print(f"[seed_shot] oss 未启用，仅本地保存: {pth}")
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return {"spu_code": r.get("spu_code"), "sku_code": r.get("sku_code"),
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"paths": paths, "urls": urls}
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# 并发：每个产品一个独立线程（默认）；config.seed_shot.concurrency 可覆盖
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seed_concurrency = int((config.get("seed_shot") or {}).get("concurrency") or 0) or len(products) or 1
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if len(products) > 1:
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print(f"[seed_shot] 并发 {seed_concurrency} 生成种草图（{len(products)} 个产品）")
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with concurrent.futures.ThreadPoolExecutor(max_workers=seed_concurrency) as _ex:
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for item in _ex.map(_shot_one, products):
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if item:
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all_shots.append(item)
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stats = dict(state.get("stats") or {})
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stats["seed_shot"] = {"count": len(all_shots), "seq": seq}
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return {"seed_shots": all_shots, "product": products, "oss_seq": seq, "stats": stats}
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